Yoga as an Alternative and Complementary Treatment for Cancer: A Systematic Review
Bibliographic record
Abstract
OBJECTIVES: Cancer is an important public health concern, with millions of patients affected worldwide. Given the physical, psychological, and physiologic changes associated with cancer, holistic therapies are needed to treat all aspect of the disease. DESIGN: A systematic review was conducted to determine the efficacy of yoga as a treatment option for cancer since 2010. Included studies were published from January 2010 to July 2012 and were indexed in MEDLINE, CINAHL, and Alt HealthWatch. RESULTS: Thirteen studies met the inclusion criteria. Eight of these studies were performed in the United States, and one each was conducted in Slovenia, Italy, the United Kingdom, Canada, and Turkey. CONCLUSIONS: The evidence for efficacy of yoga as an alternative and complementary treatment for cancer is mixed, although generally positive. Limitations of the reviewed interventions included a mixed use of instruments, weak quantitative designs, small sample sizes, and a lack of theory-based studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".